A Progressive Buffering Method for Road Map Update Using OpenStreetMap Data

Web 2.0 enables a two-way interaction between servers and clients. GPS receivers become available to more citizens and are commonly found in vehicles and smart phones, enabling individuals to record and share their trajectory data on the Internet and edit them online. OpenStreetMap (OSM) makes it possible for citizens to contribute to the acquisition of geographic information. This paper studies the use of OSM data to find newly mapped or built roads that do not exist in a reference road map and create its updated version. For this purpose, we propose a progressive buffering method for determining an optimal buffer radius to detect the new roads in the OSM data. In the next step, the detected new roads are merged into the reference road maps geometrically, topologically, and semantically. Experiments with OSM data and reference road maps over an area of 8494 km2 in the city of Wuhan, China and five of its 5 km × 5 km areas are conducted to demonstrate the feasibility and effectiveness of the method. It is shown that the OSM data can add 11.96% or a total of 2008.6 km of new roads to the reference road maps with an average precision of 96.49% and an average recall of 97.63%.

[1]  Haklay.  How good is OpenStreetMap information ? A comparative study of OpenStreetMap and Ordnance Survey datasets for London and the rest of England , 2008 .

[2]  Bisheng Yang,et al.  AUTOMATED MATCHING CROWDSOURCING ROAD NETWORKS USING PROBABILISTIC RELAXATION , 2012 .

[3]  Dennis Zielstra,et al.  Quantitative Studies on the Data Quality of OpenStreetMap in Germany , 2010 .

[4]  M. Haklay.  How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets , 2010 .

[5]  Pascal Neis,et al.  Quality assessment for building footprints data on OpenStreetMap , 2014, Int. J. Geogr. Inf. Sci..

[6]  A. Zipf,et al.  Comparative Spatial Analysis of Positional Accuracy of OpenStreetMap and Proprietary Geodata , 2012 .

[7]  Guido von Goesseln.  A MATCHING APPROACH FOR THE INTEGRATION, CHANGE DETECTION AND ADAPTATION OF HETEROGENEOUS VECTOR DATA SETS , 2005 .

[8]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[9]  Meng Zhang,et al.  An iterative road-matching approach for the integration of postal data , 2007, Comput. Environ. Urban Syst..

[10]  Volker Walter,et al.  Matching spatial data sets: a statistical approach , 1999, Int. J. Geogr. Inf. Sci..

[11]  Angi Voß,et al.  A Comparison of the Street Networks of Navteq and OSM in Germany , 2011, AGILE Conf..

[12]  Monika Sester,et al.  Quality Analysis of OpenStreetMap Data Based on Application Needs , 2011, Cartogr. Int. J. Geogr. Inf. Geovisualization.

[13]  Francisco Javier Ariza-López,et al.  Digital map conflation: a review of the process and a proposal for classification , 2011, Int. J. Geogr. Inf. Sci..

[14]  Michael F. Goodchild,et al.  Please Scroll down for Article International Journal of Digital Earth Crowdsourcing Geographic Information for Disaster Response: a Research Frontier Crowdsourcing Geographic Information for Disaster Response: a Research Frontier , 2022 .

[15]  Alex Singleton,et al.  Web mapping 2.0: The neogeography of the GeoWeb , 2008 .

[16]  Miriam J. Metzger,et al.  The credibility of volunteered geographic information , 2008 .

[17]  Guillaume Touya,et al.  Quality Assessment of the French OpenStreetMap Dataset , 2010, Trans. GIS.

[18]  Pascal Neis,et al.  Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap , 2014, Future Internet.

[19]  Frederick E. Petry,et al.  A Rule-based Approach for the Conflation of Attributed Vector Data , 1998, GeoInformatica.

[20]  Patrick Weber,et al.  OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.

[21]  Pascal Neis,et al.  A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis , 2014, Trans. GIS.

[22]  Alexander Zipf,et al.  Generating web-based 3D City Models from OpenStreetMap: The current situation in Germany , 2010, Comput. Environ. Urban Syst..

[23]  Adam C. Winstanley,et al.  Towards quality metrics for OpenStreetMap , 2010, GIS '10.

[24]  Amir Pourabdollah,et al.  Towards an Authoritative OpenStreetMap: Conflating OSM and OS OpenData National Maps' Road Network , 2013, ISPRS Int. J. Geo Inf..

[25]  Demin Xiong,et al.  Semiautomated matching for network database integration , 2004 .

[26]  M. Goodchild.  Citizens as sensors: the world of volunteered geography , 2007 .

[27]  G. Sithole,et al.  Assessing the Quality of OpenStreetMap Data in South Africa in Reference to National Mapping Standards , 2014 .

[28]  Fangli Ying,et al.  How little is enough? Evaluation of user satisfaction withmaps generated by a progressive transmission scheme forgeospatial data , 2011 .